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Research Data Management (RDM) Needs of Science and Engineering Researchers : A View from Canada Sewerin, Cristina; Barsky, Eugene; Dearborn, Dylanne; Henshilwood, Angela; Hwang, Christina; Keys, Sandra; Mitchell, Marjorie; Spence, Michelle; Szigeti, Kathy; Zaraiskaya, Tatiana

Description

There is power in collaboration. With academic institutions across Canada preparing for possible changes in funding requirements around sharing and preserving data and the submission of data management plans, librarians from a range of small, medium and large Canadian schools are collaborating to better understand local needs and to generate together a richer understanding of their respective science and engineering researcher communities. Some of the questions we hope to answer with this endeavour include: What are the characteristics of the research data produced, and how do researchers in different disciplines manage their data? What attitudes towards research data management (RDM) support services and data sharing can be observed? In this paper, results from schools which have already run the survey will be summarized, including an analysis of comparable data. Similarities and differences observed across disciplines and schools will be highlighted. Participating institutions at time of writing include: University of Toronto, University of British Columbia, University of Waterloo, University of Alberta, Queen’s University, University of Ontario Institute of Technology, Dalhousie University, University of Ottawa, and McGill University.

Item Metadata

Title
Research Data Management (RDM) Needs of Science and Engineering Researchers : A View from Canada
Creator
Sewerin, Cristina; Barsky, Eugene; Dearborn, Dylanne; Henshilwood, Angela; Hwang, Christina; Keys, Sandra; Mitchell, Marjorie; Spence, Michelle; Szigeti, Kathy; Zaraiskaya, Tatiana
Contributor
International Association for Social Science Information Service and Technology
Date Issued
2016
Description
There is power in collaboration. With academic institutions across Canada preparing for possible changes in funding requirements around sharing and preserving data and the submission of data management plans, librarians from a range of small, medium and large Canadian schools are collaborating to better understand local needs and to generate together a richer understanding of their respective science and engineering researcher communities. Some of the questions we hope to answer with this endeavour include: What are the characteristics of the research data produced, and how do researchers in different disciplines manage their data? What attitudes towards research data management (RDM) support services and data sharing can be observed? In this paper, results from schools which have already run the survey will be summarized, including an analysis of comparable data. Similarities and differences observed across disciplines and schools will be highlighted. Participating institutions at time of writing include: University of Toronto, University of British Columbia, University of Waterloo, University of Alberta, Queen’s University, University of Ontario Institute of Technology, Dalhousie University, University of Ottawa, and McGill University.
Subject
Research data; Faculty practices; Faculty attitudes; Libraries
Geographic Location
Canada
Genre
Other
Type
Text
Language
eng
Date Available
2017-02-01
Provider
Vancouver : University of British Columbia Library
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
DOI
10.14288/1.0304648
URI
http://hdl.handle.net/2429/58265
Affiliation
Library, UBC
Peer Review Status
Unreviewed
Scholarly Level
Faculty
Rights URI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository
DSpace

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Attribution-NonCommercial-NoDerivatives 4.0 International